Efficient generation of an extrapolated indication associated with a subsequent event without redundancy

A system for generating a determined variable and an associated determined value suitable for generating an extrapolated indication associated with a subsequent event, the system including a computer with one or more processor and at least one of a memory device and a non-transitory storage device, wherein the one or more processor executes a variable determination program configured to perform steps including:

• receive determination data indicative of a plurality of previous events associated with a plurality of users;
• identify, utilizing a multiple variable statistical algorithm and the determination data, a plurality of data brackets, each having interpolated correlation with indications of the plurality of previous events;
• identify, utilizing bivariate analysis and the plurality of data brackets, at least one determined variable that defines a strong interpolated correlation with indications of the plurality of previous events;
• and
• and generate, utilizing bivariate analysis and the plurality of data brackets, the associated determined value for each of the at least one determined variable that separates ranges of data associated with the at least one determined variable based on the strong interpolated correlation within the determination data,
• wherein utilization of each determined value of the at least one determined variable to generate the extrapolated indication associated with a subsequent event rather than input data of a data bracket not indicating the at least one determined variable for the subsequent event increases the fidelity of the extrapolated indication, reduces redundancy within the extrapolated indication, or both.

A method for generating a determined variable and associated value suitable for generating an extrapolated indication associated with a subsequent event, the method comprising:

• receiving, at a computing station, data indicative of a plurality of previous events associated with a plurality of users;
• identifying, utilizing a multiple variable statistical algorithm and the determination data, a plurality of data brackets, each having interpolated correlation with indications of the plurality of previous events;
• identifying, utilizing bivariate analysis and the plurality of data brackets, at least one determined variable that defines a strong interpolated correlation with indications of the plurality of previous events;
• and
• generating, utilizing bivariate analysis and the plurality of data brackets, a determined value for each of the at least one determined variable that separates ranges of data associated with the at least one determined variable based on the strong interpolated correlation within the determination data,
• wherein utilization of the determined value of the at least one determined variable to generate the extrapolated indication associated with the subsequent event rather than input data of a data bracket not indicating the at least one determined variable for the subsequent event increases the fidelity of the extrapolated indication, reduces redundancy within the extrapolated indication, or both.